Data Engineer
Summary
Build and scale enterprise-grade data pipelines and analytics platforms using Python, SQL, Azure Fabric, and Power BI for self-service reporting.
Our client is a fast-growing company building modern digital products for an international market.
The engineering team based in Wrocław works closely with product, analytics and business teams, delivering enterprise-grade data and analytics platforms.
The project focuses on designing, modernising and scaling a mission-critical data platform, enabling advanced analytics and self-service reporting across the organisation.
- Lakehouses, notebooks, pipelines
- SQL
- Python (notebook-based)
- Power BI, DAX
- GitHub, CI/CD
- Jira
- Medallion architecture
- Design, build and optimise scalable data pipelines and data models following medallion architecture
- Develop data solutions using Azure Fabric (notebooks, pipelines, lakehouses)
- Write and maintain high-quality SQL for large and complex datasets
- Implement data quality, validation, governance and monitoring
- Collaborate with product owners, analysts and BI teams
- Support datasets consumed by Power BI dashboards and DAX models
- Maintain development workflows using GitHub and Jira
- Participate in Agile ceremonies and continuous improvement activities
- Promote best practices in a Windows-first engineering environment
- Start: within 2–3 weeks
- Duration: long-term project
- Team: data engineers, analysts, BI, product
Why it’s worth joining us?
Fully remote work
Unique working atmosphere
Family-friendly community
Knowledge sharing with developers with extensive experience
In-house training programs (Angular, IOS, Android, CyberSecurity Leadership)
HR call
After we receive your CV you will have a short conversation with HR, during which we will initially tell you about SafetyHeads, the project and the role that interests you, and we will gladly hear about your expectations.
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